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Code Model Evaluation and Benchmarking

evaluating-code-models

Orchestra-Research/AI-Research-SKILLs

A comprehensive toolkit for evaluating the performance of code generation models. It supports benchmarking against industry standards like HumanEval, MBPP, and MultiPL-E across multiple languages. Use this tool to quantitatively compare different LLM coding abilities and measure code synthesis quality using pass@k metrics.

LLM Evaluation Harness

evaluating-llms-harness

Orchestra-Research/AI-Research-SKILLs

Evaluates large language models across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag) with standardized prompts and metrics, making it easy to benchmark HuggingFace or API models, compare releases, and track training progress.

Machine Learning Model Evaluation

evaluating-machine-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Provides detailed evaluation of machine learning models using plugin metrics to assess accuracy, precision, recall, F1, and other key indicators, helping users compare models and validate performance before deployment.

Evernote Observability Setup

evernote-observability

jeremylongshore/claude-code-plugins-plus-skills

Provides a comprehensive framework for implementing observability in Evernote integrations. It covers metrics collection (Prometheus), structured JSON logging, distributed tracing (OpenTelemetry), and defining health/readiness endpoints. Use this when setting up production monitoring, alerting, and performance tracking for mission-critical Evernote APIs.

Monitoring Exa Search Performance Metrics

exa-observability

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide and code implementation for setting up observability, metrics, and alerting for Exa search integrations. This skill tracks crucial KPIs such as search latency (P50/P95), error rates, result usage, and cache hit ratios. It is essential for monitoring search quality, debugging performance bottlenecks, and managing API resource usage in production environments.

Observability for Web Scraping Pipelines

firecrawl-observability

jeremylongshore/claude-code-plugins-plus-skills

Provides comprehensive observability patterns for Firecrawl web scraping operations. It covers key metrics such as scrape success rates, credit consumption tracking, content quality assessment, and latency monitoring. Use this skill for implementing robust monitoring dashboards, setting up proactive failure alerts, and optimizing the reliability of web crawling workflows.

Fireflies AI Meeting Search And Analytics

fireflies-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

This advanced workflow provides comprehensive meeting intelligence by allowing users to search across stored transcripts using keywords and date filters. It integrates the AskFred AI assistant for natural language Q&A over single or cross-meeting data. Furthermore, it aggregates detailed meeting analytics, providing key metrics such as total duration, action items, and top keywords for robust reporting and knowledge retrieval.

Fireflies AI Observability Monitoring

fireflies-observability

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive toolkit for monitoring the health and performance of Fireflies.ai integration. It tracks crucial metrics such as API connectivity, webhook delivery status, transcript processing latency, and seat utilization. Built using Prometheus metrics and suitable for Grafana dashboards, ensuring reliable data pipeline monitoring for engineering teams.

Time Series Forecaster

forecasting-time-series-data

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to analyze historical time series patterns, select the best forecasting model, and predict future values with confidence intervals for sales, traffic, or other time-dependent metrics.

Implement Gamma API Observability

gamma-observability

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive solution for implementing robust observability for Gamma API integrations. This pattern provides structured logging, detailed metrics tracking (including request counts, error rates, latency, and credit consumption), and health check endpoints. It is essential for monitoring the reliability and performance of your application when using the Gamma API in a production environment.

Google Search Console Automation

google-search-console-automation

ComposioHQ/awesome-claude-skills

Automates Google Search Console workflows via Rube MCP so you can list verified sites, query search analytics, inspect URLs, and manage sitemaps while keeping an eye on performance metrics in one integrated toolkit.

Google Ads Automation Toolkit

googleads-automation

ComposioHQ/awesome-claude-skills

Automates Google Ads analytics via Rube MCP to list linked accounts, validate GA4 dimensions and metrics, and run tailored performance reports for campaigns while always fetching the latest tool schemas first.

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